[Remote] Engineering Manager, Machine Learning
Note: The job is a remote job and is open to candidates in USA. Overstory uses AI and advanced satellite imagery to help electric utilities identify vegetation risks, prevent outages, and reduce wildfire risks. The Engineering Manager, Machine Learning will lead cross-functional machine learning and data teams, guide technical direction and delivery, grow engineering talent, and foster high-performing collaborative teams.
Responsibilities
- Enable our Machine Learning and data teams to operate as highly productive, cross-functional teams delivering high-quality ML-driven capabilities
- Support teams working with satellite imagery and geospatial datasets, balancing experimentation, iteration, and ongoing improvement of existing solutions
- Grow the teams by attracting and hiring great Data and ML talent
- Foster an inclusive, supportive, and caring culture where everyone can do their best work
- Provide regular 1:1 coaching and feedback to help others thrive, grow, and reach their aspirations
- Act as a strategic partner to Product Managers within your domains, ensuring technical decisions balance short- and long-term goals
- Ensure the technical approaches within your domains support future product and modelling needs
- Work closely with other Product, Design and Engineering leaders on strategy, technology, and people
- Help evolve Data and ML practices and introduce ways of working that improve collaboration, delivery, and learning
Skills
- 8+ years of professional experience building ML- or data-driven systems, at least 3 years' experience leading and managing ML or data-focused teams
- Passionate about climate and the role technology can play in addressing environmental challenges
- Experience working in a high-growth scale-up or startup environment
- Product-minded, with the ability to demonstrate meaningful business impact through technology
- Sufficient technical depth in machine learning, data systems, or applied ML to guide teams and challenge decisions
- Experience working with python-based ML or data workflows and collaborating closely with data scientists
- Strong leadership skills, with a coaching mindset and the ability to support engineers and data scientists at all levels
- Excellent communication skills and the ability to collaborate effectively in cross-functional environments
- Passion for learning and staying current with evolving technologies and industry trend
- Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)
- We are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada
- Engineering mindset or background, with experience applying software engineering best practices to data and ML systems (e.g., reproducibility, testing, monitoring, and production deployments)
Benefits
- Competitive, location-specific compensation and benefits
- Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
- Home office stipend
- Coworking budget
- Ongoing education budget
- Remote work from one of the listed countries
- Annual in-person team gathering event
- Option to occasionally meet up for in-person collaboration
Company Overview